Senior

Job description

Req#30046684 **Roles and Responsibilitie** sAn Azure Data Engineer is responsible for designing and developing data solutions/pipelines using Microsoft Azure cloud services. The role involves creating scalable data pipelines, integrating data from multiple sources, and implementing strong data security and privacy controls .The Azure Data Engineer will also monitor and troubleshoot data flows, optimize data storage and processing for performance and cost efficiency, and support AI and Generative AI (GenAI) initiatives by enabling high‑quality and reliable data pipelines **.Experience – 4 to 6 Years of Experience** **. Key Responsibiliti** - esDesign and implement data storage and processing solutions using Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Databrick - s.Create and maintain data pipelines for data ingestion, transformation, and loading (ETL/ELT - ).Support AI and GenAI workloads by preparing and managing data required and inference pipeline - s.Implement data security and privacy measures, including encryption, access controls, and role‑based acces - s.Monitor and troubleshoot data flows to ensure data quality, reliability, and availabilit - y.Optimize data storage and processing for performance and cost efficienc - y.Collaborate with data scientists, AI engineers, and software engineers to support data‑driven and AI‑enabled applications and service **s. Skills and Qualificati** - onsBachelor’s degree in computer science, Engineering, Information Systems, or a related technical field, or equivalent practical experien - ce.Experience with Azure cloud services, specifically data storage and data processing solutio - ns.Strong knowledge of data warehousing and ETL (Extract, Transform, Load) concep - ts.Hands‑on experience with SQL, Python and PySpa - rk.Understanding of GenAI and LLM data concepts, including training data, embeddings, and inference pipelin - es.Strong understanding of data security and privacy best practi - ce.Experience with monitoring and troubleshooting data pipelin - es.Strong problem‑solving and analytical skil - ls.Effective communication skills to collaborate with cross‑functional tea - ms.Experience with data governance is a pl us.